MSc Big Data Project Code and Data

Crime Record Management and Crime Analysis

FIFA Prediction using naive bayes

Probabilistic Robotics - Problem 2 of chapter 2, Simulator of Markov Chain

Predicting_US_Housing_Market_ARIMA_ML_LSTM_RNN_FBProphet

A Salary predictor machine learning model based on Linear Regression, can be used to predict the salaries of the employees based on their experiences.

Image Detection using TensorFlow in Python.

A IA model to predict how many products will sold a clinic per day.

Working on Project related to Workforce Analytics wherein we need to understand and help the organization with its HR and workforce analytics for sustaining the business. Trying to understand the factors/ variables related to employee attrition and retention along with ensuring the business does not gets effected. Performing EDA on the features …

This project develops a machine learning model to predict customer churn for a telecommunication company, enabling proactive customer retention strategies. This predictive model equips the company to identify at-risk customers early and implement tailored retention efforts, thereby enhancing customer satisfaction and reducing churn rates.

Performed Exploratory Data Analysis on data from kaggle US latest trending videos and find out the catchy words which make a video viral, even predict the number of views a video can achieve.

Problem Statemtent - Suggest the tags based on the content that was there in the question posted on Stackoverflow. Source-Kaggle(https://www.kaggle.com/c/facebook-recruiting-iii-keyword-extraction/) - This competition tests your text skills on a large dataset from the Stack Exchange sites. The task is to predict the tags (a.k.a. keywords, topics…

Machine Learning for Real State

AI to predict whether online shopping customers will complete a purchase

Deep learning projects using Pytorch and tensorflow.

Analyzing a dataset that shows the information of patients of a hospital and shows whether the patient arrived at their booked appointment or not. The goal of this project is to build a Machine learning model that can predict whether the patient with the given info will arrive or not.

Project CNN + LSTM DL predictions